code: def forward(self, data):
      features = self.embed(data)
      out = features.mean(dim=1)
      for layer in range(len(self.fc)):
          out = self.fc[layer](out)
      return out, features
  
file_path: autogluon/tabular/src/autogluon/tabular/models/tab_transformer/tab_model_base.py
imports: import torch.nn
label_desc: Use image node_id 2 for calling the TabNet obj's underlying member method code with example usage: obj.forward(data) and returns: out,  features